Automatic Filtering System for Analyzing Customer's Tastes

Keywords

Abstract

For making more intelligent system in the information so
ciety it is necessary to implement the automatic ﬁltering
system which can extract the important information con
sidering personal preference from a large amount data.
Accordingly, in this paper we deﬁne Relative Impor
tance (RI) factor as a cri-terion for representing the per
sonal preference and propose Intelligent Information Filter
ing system considering RI. This system is designed to have
learning, perception inference and knowledge re-trieval
and to have an incremental learning mechanism for the new
obtained important information. This system is applied to
the area for the analysis of customer’s tastes and its perfor
mance is analyzed and compared.